(Me jumping out of a plane at 13,000 feet!! btw, I'm the one on the bottom. )		   James M. Kang
  Address
  University of Minnesota - Twin Cities
  Department of Computer Science and Engineering 
  4-192 EE/CS Building
  200 Union Street SE, Minneapolis, MN, 55455

  office: 5-202 EE/CS Building
  phone: (612) 626-7703
  email: jkang(at)cs(dot)umn(dot)edu
  homepage: http://www.cs.umn.edu/~jkang
  curriculum vitae: (pdf - 3/10)

          
 
Research Interests: Spatio-Temporal Data Mining, Spatio-Temporal Databases, and applications to Ecology, Civil Engineering, and Geology
 
Education
Ph.D. Candidate, Computer Science (2005 - Present)
Department of Computer Science and Engineering, University of Minnesota - Twin Cities
Research advisor: Prof. Shashi Shekhar
Thesis: Spatio-Temporal Data Mining of Vector Field Datasets

M.S., Computer Science (2005)
B. T. Golisano College of Computing and Information Sciences, Rochester Institute of Technology
Thesis: A Query Engine of Novelty in Video Streams

B.S., Computer Science (2000)
Department of Computer Science, Purdue University
 
Awards/Activities
  • NSF IGERT Fellowship, University of Minnesota, Minneapolis, Minnesota, 2010
  • Highlighted as a success story at the NGA NARP Symposium, 2009
  • Best Paper Award - The First International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD '07)
  • NSF IGERT Fellowship, University of Minnesota, Minneapolis, Minnesota, 2005 - 2007
  • Selected as one of the best papers in the 1st International Workshop on Spatial and Spatio-Temporal Data Mining, 2006
  • Asia Pacific Exchange Leadership Award, Eastman Kodak Company, Rochester, New York, 2003
  • Officer, New Hires Group, Eastman Kodak Company, Rochester, New York 2000 - 2004
  • College of Science Student Council, Purdue University, West Lafayette, Indiana 1997
  • Secretary, Asian American Association, Purdue University, West Lafayette, Indiana 1996
  • Rehabilitation Volunteer, Erie County Medical Center, Buffalo, New York, 1996
  • Systems Volunteer, Erie 1 Boces, Buffalo, New York, 1996
Publications
Journal Publications
  1. J. M. Kang, M. Mokbel, S. Shekhar, T. Xia, D. Zhang, Incremental and General Evaluation of Reverse Nearest Neighbors, IEEE Transactions on Knowledge and Data Engineering (TKDE), to appear. [pdf]

  2. V. Gandhi, J. M. Kang, S. Shekhar, J. Ju, E. D. Kolaczyk, and S. Gopal Context-Inclusive Function Evaluation: A Case Study with EM-Based Multi-Scale Multi-Granular Image Classification , Knowledge and Information Systems, (KAIS), 21(2), 231-247, 2009. [link]

  3. B. George, J. M. Kang, S. Shekhar Spatio-Temporal Sensor Graphs (STSG): A Data Model for the Discovery of Spatio-Temporal Patterns, International Journal of Intelligent Data Analysis (JIDA), 13(3), 457-475, 2009. [link]
Conference/Workshop Publications
  1. J. M. Kang, S. Shekhar, Discovering Flow Anomalies on a Smarter Water Infrastructure System, Data Mining for Smarter Infrastructure Workshop, In conjunction with SDM, 2010 (Invited Paper).

  2. J. M. Kang, S. Shekhar, M. Henjum, P. Novak, W. Arnold, Discovering Teleconnected Flow Anomalies: A Relationship Analysis of spatio-temporal Dynamic (RAD) neighborhoods, In the Symposium on Spatial and Temporal Databases (SSTD '09), pp. 44-61, Aalborg, Denmark, July 8-10, 2009 (Selectivity of 1 out of 3). [pdf]

  3. D. Morgan, J. W. Kang, J. M. Kang, Mineable Data Warehouses, In the Eleventh International Conference on Enterprise Information Systems (ICEIS '09), pp. 125-136), Milan, Italy, May 6-10, 2009, (Selectivity of 1 out of 9). [pdf]

  4. J. M. Kang, S. Shekhar, C. Wennen, P. Novak, Discovering Flow Anomalies: A SWEET Approach, In the Eighth IEEE International Conference on Data Mining (ICDM '08), pp. 851-856, Pisa, Italy, December 15-19, 2008 (Selectivity of 1 out of 7). [pdf]

  5. M. Celik, J. M. Kang, S. Shekhar, Zonal Co-location Pattern Discovery with Dynamic Parameters, In the Seventh IEEE International Conference on Data Mining (ICDM '07), pp. 433-438, Omaha NE, October 28-31, 2007 (Selectivity of 1 out of 5). [pdf]

  6. B. George, J. M. Kang, S. Shekhar, Spatio-Temporal Sensor Graphs (STSG): A Sensor Model for the Discovery of Spatio-Temporal Patterns, In the first SIG-KDD International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD '07), San Jose CA, August 12, 2007 (Best Paper Award). [pdf]

  7. M. Celik, S. Shekhar, J. P. Rogers, J. A. Shine, J. M. Kang, Mining At Most Top-K% Mixed-drove Spatio-temporal Co-occurrence Patterns: A Summary of Results, In the ICDE Workshop on Spatio-Temporal Data Mining (STDM '07), pp. 565-574, Istanbul, Turkey, April 20, 2007. [pdf]

  8. J. M. Kang, M. Mokbel, S. Shekhar, T. Xia, D. Zhang, Continuous Evaluation of Monochromatic and Bichromatic Reverse Nearest Neighbors, In proceedings of the IEEE 23rd International Conference on Data Engineering (ICDE '07), pp 806-815, Istanbul, Turkey, April 16-20, 2007 (Selectivity of 1 out of 7). [pdf]

  9. V. Gandhi, J. M. Kang, S. Shekhar, J. Ju, E. D. Kolaczyk, S. Gopal, Context-Inclusive Approach to Speed-up Function Evaluation for Statistical Queries : An Extended Abstract., In proceedings of the 1st International Workshop on Spatial and Spatio-Temporal Data Mining (SSTDM '06), in conjunction with the IEEE 6th International Conference on Data Mining (ICDM '06), p. 371-376, Hong Kong, December 18, 2006 (Selectivity of 1 out of 3). [pdf]

  10. V. Misic, J. M. Kang, A. M. Teredesai, J. Sissel, Portable Image Archiving: Annotation, Search, and Data Retrieval, In proceedings of Imaging Science and Technology Archiving Conference 2005 (IS&T '05), p. 114-118, Washington, D.C., April 26-29, 2005. (link)
Book Chapters
  1. S. Shekhar, V. Gandhi, J. M. Kang, and M. Mokbel, Spatial Databases, Handbook of Database Technologies (Ed. Markus Schneider and Joachim Hammer), CRC Press, to appear.

  2. S. Shekhar, and J. M. Kang, Spatial Data Mining, (Field Editor: D. Papadis), Encyclopedia of Database Systems, Springer Publishers, isbn 978-0387355443, to appear.

  3. V. Gandhi, J. M. Kang, and S. Shekhar, Spatial Databases, Wiley Encyclopedia of Computer Science and Engineering (Ed. Benjamin Wah), John Wiley and Sons Inc., 2009, isbn 978-0471383932. [pdf]

  4. J. M. Kang, Voronoi Diagrams, Encyclopedia of GIS, Springer Publishers, 1232-1235, isbn 978-0-387-30858-6, 2008. [link]

  5. J. M. Kang, Voronoi Terminology, Encyclopedia of GIS, Springer Publishers, pg 1241, isbn 978-0-387-30858-6, 2008. [link]

  6. J. M. Kang, Distance Metrics, Encyclopedia of GIS, Springer Publishers, 245-246, isbn 978-0-387-30858-6, 2008. [link]

  7. J. M. Kang, A. M. Teredesai, M. A. Ahmad, R. Gaborski, Cognitively Motivated Novelty Detection in Video Data Streams, In the Multimedia Data Mining and Knowledge Discovery, Springer Publishers, V. A. Petrushin & L. Khan (Eds.) 2006. [pdf]
Technical Reports
  1. J. M. Kang, S. Shekhar, C. Wennen, P. Novak, Discovering Flow Anomalies: A SWEET Approach, Technical Report TR09-006, Department of Computer Science, University of Minnesota, Minneapolis, USA, 2009. [link]

  2. V. Gandhi, J. M. Kang, S. Shekhar, J. Ju, E. D. Kolaczyk, S. Gopal, Context Inclusive Function Evaluation: A Case Study with EM-Based Multi-Scale Multi-Granular Image Classification, Technical Report TR08-025, Department of Computer Science, University of Minnesota, Minneapolis, USA, 2008. [link]

  3. V. Gandhi, J. M. Kang, S. Shekhar, Spatial Databases, Technical Report TR07-020, Department of Computer Science, University of Minnesota, Minneapolis, USA, 2007. [link]

  4. S. Mane, J. M. Kang, S. Shekhar, J. Srivastava, C. Murray, A. Pusey, Identifying Clusters in Marked Spatial Point Processes: A Summary of Results, Technical Report 06-006, Department of Computer Science, University of Minnesota, Minneapolis, USA, 2006. [link]

  5. J. M. Kang, A. M. Teredesai, V. Misic, R. Gaborski, Query Engine of Novelty in Video Streams, Master's Thesis, Department of Computer Science, B. Thomas Golisano College of Computing and Information Science, Rochester, NY, USA, 2005. [link]
   
   
Last Update: March 17, 2009
 

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